
This bound on the Wasserstein metric is discovered after an application of Theorem REF . The result itself provides a relatively weak comparison between the two distributions, however such a result is still of interest. In contrast to the von-Mises distribution, wrapped normal distribution is typically non-trivial to simulate from, and so comparisons between these two distributions have been a central point of discussion within directional statistics [1]}, [2]}.
